Systems and Data Analysis

Computational tools and techniques for systems and data analysis are key to gaining better understanding of processes and products as well as to optimize their performance. This holds true regardless of the applications being of technical or biological character since on a systems level they can be modeled and analyzed using general mathematical techniques. The department conducts research, application and development of computational methods, software tools, data analysis, and dynamic system modeling on different levels of abstraction utilizing time and spatially resolved measurement data.